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Mancini MV, Murdochy SM, Bilgo E, Ant TH, Gingell D, Gnambani EJ, Failloux AB, Diabate A, Sinkins SP. Wolbachia strain wAlbB shows favourable characteristics for dengue control use in Aedes aegypti from Burkina Faso. Environ Microbiol 2024; 26:e16588. [PMID: 38450576 DOI: 10.1111/1462-2920.16588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/23/2024] [Indexed: 03/08/2024]
Abstract
Dengue represents an increasing public health burden worldwide. In Africa, underreporting and misdiagnosis often mask its true epidemiology, and dengue is likely to be both more widespread than reported data suggest and increasing in incidence and distribution. Wolbachia-based dengue control is underway in Asia and the Americas but has not to date been deployed in Africa. Due to the genetic heterogeneity of African Aedes aegypti populations and the complexity of the host-symbiont interactions, characterization of key parameters of Wolbachia-carrying mosquitoes is paramount for determining the potential of the system as a control tool for dengue in Africa. The wAlbB Wolbachia strain was stably introduced into an African Ae. aegypti population by introgression, and showed high intracellular density in whole bodies and different mosquito tissues; high intracellular density was also maintained following larval rearing at high temperatures. No effect on the adult lifespan induced by Wolbachia presence was detected. Moreover, the ability of this strain to strongly inhibit DENV-2 dissemination and transmission in the host was also demonstrated in the African background. Our findings suggest the potential of harnessing Wolbachia for dengue control for African populations of Ae. aegypti.
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Affiliation(s)
- Maria Vittoria Mancini
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | | | - Etienne Bilgo
- Institut de Recherche en Sciences de la Santé, Direction Régionale de l'Ouest, Dioulasso, Burkina Faso
- Institut National de Santé Publique/Centre Muraz, Dioulasso, Burkina Faso
| | - Thomas H Ant
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Daniel Gingell
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Edounou Jacques Gnambani
- Institut de Recherche en Sciences de la Santé, Direction Régionale de l'Ouest, Dioulasso, Burkina Faso
- Institut National de Santé Publique/Centre Muraz, Dioulasso, Burkina Faso
| | - Anna-Bella Failloux
- Institut Pasteur, Université Paris Cité, Arboviruses and Insect Vectors Unit, Paris, France
| | - Abdoulaye Diabate
- Institut de Recherche en Sciences de la Santé, Direction Régionale de l'Ouest, Dioulasso, Burkina Faso
- Institut National de Santé Publique/Centre Muraz, Dioulasso, Burkina Faso
| | - Steven P Sinkins
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
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2
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Saarman NP, Son JH, Zhao H, Cosme LV, Kong Y, Li M, Wang S, Weiss BL, Echodu R, Opiro R, Aksoy S, Caccone A. Genomic evidence of sex chromosome aneuploidy and infection-associated genotypes in the tsetse fly Glossina fuscipes, the major vector of African trypanosomiasis in Uganda. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023; 114:105501. [PMID: 37709241 PMCID: PMC10593118 DOI: 10.1016/j.meegid.2023.105501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
The primary vector of the trypanosome parasite causing human and animal African trypanosomiasis in Uganda is the riverine tsetse fly Glossina fuscipes fuscipes (Gff). Our study improved the Gff genome assembly with whole genome 10× Chromium sequencing of a lab reared pupae, identified autosomal versus sex-chromosomal regions of the genome with ddRAD-seq data from 627 field caught Gff, and identified SNPs associated with trypanosome infection with genome-wide association (GWA) analysis in a subset of 351 flies. Results from 10× Chromium sequencing greatly improved Gff genome assembly metrics and assigned a full third of the genome to the sex chromosome. Results from ddRAD-seq suggested possible sex-chromosome aneuploidy in Gff and identified a single autosomal SNP to be highly associated with trypanosome infection. The top associated SNP was ∼1100 bp upstream of the gene lecithin cholesterol acyltransferase (LCAT), an important component of the molecular pathway that initiates trypanosome lysis and protection in mammals. Results suggest that there may be naturally occurring genetic variation in Gff in genomic regions in linkage disequilibrium with LCAT that can protect against trypanosome infection, thereby paving the way for targeted research into novel vector control strategies that can promote parasite resistance in natural populations.
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Affiliation(s)
| | - Jae Hak Son
- Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
| | - Hongyu Zhao
- Yale School of Public Health, New Haven, CT, USA.
| | | | - Yong Kong
- Yale School of Public Health, New Haven, CT, USA.
| | - Mo Li
- Yale School of Public Health, New Haven, CT, USA
| | | | | | | | | | - Serap Aksoy
- Yale School of Public Health, New Haven, CT, USA.
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3
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Olaide OY, Tchouassi DP, Yusuf AA, Pirk CW, Masiga DK, Saini RK, Torto B. Effect of zebra skin-derived compounds on field catches of the human African trypanosomiasis vector Glossina fuscipes fuscipes. Acta Trop 2021; 213:105745. [PMID: 33160957 DOI: 10.1016/j.actatropica.2020.105745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 10/23/2022]
Abstract
The riverine tsetse fly Glossina fuscipes fuscipes is a major vector of trypanosome pathogens causing African trypanosomiasis. This fly species uses a combination of olfactory and visual cues to locate its hosts. Previously, traps and targets baited with visual cues have been used in vector control, but the development of olfactory-based tools has been challenging. Recently, repellents have shown promise as olfactory-based tools in tsetse vector control. Here, we evaluated a three-component blend comprising 6-methyl-5-hepten-2-one, acetophenone and geranyl acetone (blend K), previously identified as a repellent for savannah tsetse flies in zebra skin odor, on G. f. fuscipes populations. Using a series of 6 × 6 randomized Latin square-designed experiments, G. f. fuscipes catches in biconical traps were monitored on four islands of Lake Victoria in western Kenya between July and September 2019, after the long rainy season. Traps were baited with blend K and individual components of this blend. The known tsetse repellent blend WRC (waterbuck repellent compounds) and trap alone were included as controls. Daily catch data in thirty-six replicate trials were analyzed using generalized linear model with negative binomial error structure using the package "MASS" in R. Treatment, day and site were set as predictor variables. Our results showed that, blend K significantly reduced G. f. fuscipes catches by 25.6% (P < 0.01) compared to the control trap alone but was not significantly different from WRC which reduced catches by 20.7% (P < 0.05). Of the individual compounds, geranyl acetone solely significantly reduced catches by 29.1% (P < 0.01) which did not differ from blend K or WRC. We conclude that geranyl acetone accounts for the repellent effect of blend K on the riverine tsetse fly, G. f. fuscipes, demonstrating the ecological importance of animal skin odors in the host-seeking behavior of medically-important tsetse fly vectors.
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4
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Saarman NP, Opiro R, Hyseni C, Echodu R, Opiyo EA, Dion K, Johnson T, Aksoy S, Caccone A. The population genomics of multiple tsetse fly (Glossina fuscipes fuscipes) admixture zones in Uganda. Mol Ecol 2019; 28:66-85. [PMID: 30471158 DOI: 10.1111/mec.14957] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 10/26/2018] [Accepted: 11/05/2018] [Indexed: 11/28/2022]
Abstract
Understanding the mechanisms that enforce, maintain or reverse the process of speciation is an important challenge in evolutionary biology. This study investigates the patterns of divergence and discusses the processes that form and maintain divergent lineages of the tsetse fly Glossina fuscipes fuscipes in Uganda. We sampled 251 flies from 18 sites spanning known genetic lineages and the four admixture zones between them. We apply population genomics, hybrid zone and approximate Bayesian computation to the analysis of three types of genetic markers: 55,267 double-digest restriction site-associated DNA (ddRAD) SNPs to assess genome-wide admixture, 16 microsatellites to provide continuity with published data and accurate biogeographic modelling, and a 491-bp fragment of mitochondrial cytochrome oxidase I and II to infer maternal inheritance patterns. Admixture zones correspond with regions impacted by the reorganization of Uganda's river networks that occurred during the formation of the West African Rift system over the last several hundred thousand years. Because tsetse fly population distributions are defined by rivers, admixture zones likely represent both old and new regions of secondary contact. Our results indicate that older hybrid zones contain mostly parental types, while younger zones contain variable hybrid types resulting from multiple generations of interbreeding. These findings suggest that reproductive barriers are nearly complete in the older admixture zones, while nearly absent in the younger admixture zones. Findings are consistent with predictions of hybrid zone theory: Populations in zones of secondary contact transition rapidly from early to late stages of speciation or collapse all together.
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Affiliation(s)
- Norah P Saarman
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut
| | - Robert Opiro
- Department of Biology, Faculty of Science, Gulu University, Uganda
| | - Chaz Hyseni
- Department of Biology, University of Mississippi, Oxford, Mississippi
| | - Richard Echodu
- Department of Biology, Faculty of Science, Gulu University, Uganda
| | | | - Kirstin Dion
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut
| | - Thomas Johnson
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut
| | - Adalgisa Caccone
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut
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5
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 PMCID: PMC6721284 DOI: 10.1186/s13059-019-1768-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya.,Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA.,Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya.,Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy.,Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA.,Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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6
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 DOI: 10.1101/531749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
- Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA
- Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
- Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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7
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Chahda JS, Soni N, Sun JS, Ebrahim SAM, Weiss BL, Carlson JR. The molecular and cellular basis of olfactory response to tsetse fly attractants. PLoS Genet 2019; 15:e1008005. [PMID: 30875383 PMCID: PMC6420007 DOI: 10.1371/journal.pgen.1008005] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 02/05/2019] [Indexed: 12/12/2022] Open
Abstract
Dipteran or "true" flies occupy nearly every terrestrial habitat, and have evolved to feed upon a wide variety of sources including fruit, pollen, decomposing animal matter, and even vertebrate blood. Here we analyze the molecular, genetic and cellular basis of odor response in the tsetse fly Glossina morsitans, which feeds on the blood of humans and their livestock, and is a vector of deadly trypanosomes. The G. morsitans antenna contains specialized subtypes of sensilla, some of which line a sensory pit not found in the fruit fly Drosophila. We characterize distinct patterns of G. morsitans Odor receptor (GmmOr) gene expression in the antenna. We devise a new version of the "empty neuron" heterologous expression system, and use it to functionally express several GmmOrs in a mutant olfactory receptor neuron (ORN) of Drosophila. GmmOr35 responds to 1-hexen-3-ol, an odorant found in human emanations, and also alpha-pinene, a compound produced by malarial parasites. Another receptor, GmmOr9, which is expressed in the sensory pit, responds to acetone, 2-butanone and 2-propanol. We confirm by electrophysiological recording that neurons of the sensory pit respond to these odorants. Acetone and 2-butanone are strong attractants long used in the field to trap tsetse. We find that 2-propanol is also an attractant for both G. morsitans and the related species G. fuscipes, a major vector of African sleeping sickness. The results identify 2-propanol as a candidate for an environmentally friendly and practical tsetse attractant. Taken together, this work characterizes the olfactory system of a highly distinct kind of fly, and it provides an approach to identifying new agents for controlling the fly and the devastating diseases that it carries.
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Affiliation(s)
- J. Sebastian Chahda
- Dept. of Molecular Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America
| | - Neeraj Soni
- Dept. of Molecular Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America
| | - Jennifer S. Sun
- Dept. of Molecular Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America
| | - Shimaa A. M. Ebrahim
- Dept. of Molecular Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America
| | - Brian L. Weiss
- Dept. of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - John R. Carlson
- Dept. of Molecular Cellular and Developmental Biology, Yale University, New Haven, Connecticut, United States of America
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Krafsur ES, Maudlin I. Tsetse fly evolution, genetics and the trypanosomiases - A review. INFECTION GENETICS AND EVOLUTION 2018; 64:185-206. [PMID: 29885477 DOI: 10.1016/j.meegid.2018.05.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 05/30/2018] [Accepted: 05/31/2018] [Indexed: 01/27/2023]
Abstract
This reviews work published since 2007. Relative efforts devoted to the agents of African trypanosomiasis and their tsetse fly vectors are given by the numbers of PubMed accessions. In the last 10 years PubMed citations number 3457 for Trypanosoma brucei and 769 for Glossina. The development of simple sequence repeats and single nucleotide polymorphisms afford much higher resolution of Glossina and Trypanosoma population structures than heretofore. Even greater resolution is offered by partial and whole genome sequencing. Reproduction in T. brucei sensu lato is principally clonal although genetic recombination in tsetse salivary glands has been demonstrated in T. b. brucei and T. b. rhodesiense but not in T. b. gambiense. In the past decade most genetic attention was given to the chief human African trypanosomiasis vectors in subgenus Nemorhina e.g., Glossina f. fuscipes, G. p. palpalis, and G. p. gambiense. The chief interest in Nemorhina population genetics seemed to be finding vector populations sufficiently isolated to enable efficient and long-lasting suppression. To this end estimates were made of gene flow, derived from FST and its analogues, and Ne, the size of a hypothetical population equivalent to that under study. Genetic drift was greater, gene flow and Ne typically lesser in savannah inhabiting tsetse (subgenus Glossina) than in riverine forms (Nemorhina). Population stabilities were examined by sequential sampling and genotypic analysis of nuclear and mitochondrial genomes in both groups and found to be stable. Gene frequencies estimated in sequential samplings differed by drift and allowed estimates of effective population numbers that were greater for Nemorhina spp than Glossina spp. Prospects are examined of genetic methods of vector control. The tsetse long generation time (c. 50 d) is a major contraindication to any suggested genetic method of tsetse population manipulation. Ecological and modelling research convincingly show that conventional methods of targeted insecticide applications and traps/targets can achieve cost-effective reduction in tsetse densities.
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Affiliation(s)
- E S Krafsur
- Department of Entomology, Iowa State University, Ames, IA 50011, USA.
| | - Ian Maudlin
- School of Biomedical Sciences, The University of Edinburgh, Scotland, UK
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